Application of remote sensing, GIS and geophysical techniques for groundwater potential development in the crystalline basement complex of Ondo State, Southwestern Nigeria
Remotely sensed and electrical resistivity data were employed to develop the groundwater potential of the hard-rock terrain of Ondo State, Southwestern Nigeria. Administrative map, Landsat ETM +, Aster DEM were acquired and processed to produce geomorphological map, lineament and lineament-intersect...
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description | Remotely sensed and electrical resistivity data were employed to develop the groundwater potential of the hard-rock terrain of Ondo State, Southwestern Nigeria. Administrative map, Landsat ETM +, Aster DEM were acquired and processed to produce geomorphological map, lineament and lineament-intersection density maps. Electric sounding and groundwater yield data were also acquired. The electric sounding data were interpreted quantitatively. Aquifer thickness and coefficient of anisotropy were generated from geoelectric parameters (resistivities and thicknesses) deduced from the interpreted results of the electric sounding data. All these maps were reclassified into hydro-thematic maps and combined using weighted linear combination function in ArcGIS 10.5 software to develop a composite groundwater potential map. Groundwater yield data were used to establish the reliability of the groundwater potential map derived from the remotely sensed and geophysical data interpretation. Erosional and depositional landforms were identified in the area and these included: residual hill (677–980 m.a.s.l), pediment (452–677 m.a.s.l), pediplain (226–452 m.a.s.l) and pediplain with alluvium (74–226 m.a.s.l). The lineament density ranged from 0.00 to 69.48 km/km
2
. The lineament-intersection density ranged between 0.00 and 72.92 km/km
2
. The aquifer thicknesses varied from 0.2 to 79 m. The aquifer types identified from the study were the weathered layer (WL), weathered/fractured (unconfined) (W/F(u)), weathered/fractures (confined) (W/F(c)), weathered/fractured (unconfined)/fractured (confined) (W/F(u)/F(c)) and fractured confined aquifer (F(c)). The coefficient of anisotropy (coa) values ranged from 1.0 to 2.88 units. Four distinct groundwater potential zones: very low, low, moderate and high zones were identified. However, the study concluded that the groundwater potential rating of the study area was low to moderate. |
doi_str_mv | 10.1007/s40899-020-00486-5 |
format | Article |
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2
. The lineament-intersection density ranged between 0.00 and 72.92 km/km
2
. The aquifer thicknesses varied from 0.2 to 79 m. The aquifer types identified from the study were the weathered layer (WL), weathered/fractured (unconfined) (W/F(u)), weathered/fractures (confined) (W/F(c)), weathered/fractured (unconfined)/fractured (confined) (W/F(u)/F(c)) and fractured confined aquifer (F(c)). The coefficient of anisotropy (coa) values ranged from 1.0 to 2.88 units. Four distinct groundwater potential zones: very low, low, moderate and high zones were identified. However, the study concluded that the groundwater potential rating of the study area was low to moderate.</description><identifier>ISSN: 2363-5037</identifier><identifier>EISSN: 2363-5045</identifier><identifier>DOI: 10.1007/s40899-020-00486-5</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Alluvial deposits ; Alluvium ; Anisotropy ; Aquifers ; Confined aquifers ; Data acquisition ; Data interpretation ; Density ; Development Economics ; Digital Elevation Models ; Earth and Environmental Science ; Earth Sciences ; Electrical resistivity ; Foothills ; Fractures ; Geoelectricity ; Geographic information systems ; Geographical information systems ; Geomorphology ; Geophysical data ; Geophysical methods ; Groundwater ; Groundwater data ; Groundwater potential ; Hydrogeology ; Hydrology/Water Resources ; Identification ; Landforms ; Landsat ; Landsat satellites ; Original Article ; Remote sensing ; Sounding ; Sustainable Development ; Thematic mapping ; Thickness ; Water Policy/Water Governance/Water Management ; Yields</subject><ispartof>Sustainable water resources management, 2021-02, Vol.7 (1), Article 4</ispartof><rights>Springer Nature Switzerland AG 2021</rights><rights>Springer Nature Switzerland AG 2021.</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-6339f32403e13e761725b7cf81acf568927436234a83fda1bd844c315a62972c3</citedby><cites>FETCH-LOGICAL-c319t-6339f32403e13e761725b7cf81acf568927436234a83fda1bd844c315a62972c3</cites><orcidid>0000-0002-1390-1831</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s40899-020-00486-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s40899-020-00486-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,778,782,27907,27908,41471,42540,51302</link.rule.ids></links><search><creatorcontrib>Akinluyi, Francis O.</creatorcontrib><creatorcontrib>Olorunfemi, Martins O.</creatorcontrib><creatorcontrib>Bayowa, Oyelowo G.</creatorcontrib><title>Application of remote sensing, GIS and geophysical techniques for groundwater potential development in the crystalline basement complex of Ondo State, Southwestern Nigeria</title><title>Sustainable water resources management</title><addtitle>Sustain. Water Resour. Manag</addtitle><description>Remotely sensed and electrical resistivity data were employed to develop the groundwater potential of the hard-rock terrain of Ondo State, Southwestern Nigeria. Administrative map, Landsat ETM +, Aster DEM were acquired and processed to produce geomorphological map, lineament and lineament-intersection density maps. Electric sounding and groundwater yield data were also acquired. The electric sounding data were interpreted quantitatively. Aquifer thickness and coefficient of anisotropy were generated from geoelectric parameters (resistivities and thicknesses) deduced from the interpreted results of the electric sounding data. All these maps were reclassified into hydro-thematic maps and combined using weighted linear combination function in ArcGIS 10.5 software to develop a composite groundwater potential map. Groundwater yield data were used to establish the reliability of the groundwater potential map derived from the remotely sensed and geophysical data interpretation. Erosional and depositional landforms were identified in the area and these included: residual hill (677–980 m.a.s.l), pediment (452–677 m.a.s.l), pediplain (226–452 m.a.s.l) and pediplain with alluvium (74–226 m.a.s.l). The lineament density ranged from 0.00 to 69.48 km/km
2
. The lineament-intersection density ranged between 0.00 and 72.92 km/km
2
. The aquifer thicknesses varied from 0.2 to 79 m. The aquifer types identified from the study were the weathered layer (WL), weathered/fractured (unconfined) (W/F(u)), weathered/fractures (confined) (W/F(c)), weathered/fractured (unconfined)/fractured (confined) (W/F(u)/F(c)) and fractured confined aquifer (F(c)). The coefficient of anisotropy (coa) values ranged from 1.0 to 2.88 units. Four distinct groundwater potential zones: very low, low, moderate and high zones were identified. However, the study concluded that the groundwater potential rating of the study area was low to moderate.</description><subject>Alluvial deposits</subject><subject>Alluvium</subject><subject>Anisotropy</subject><subject>Aquifers</subject><subject>Confined aquifers</subject><subject>Data acquisition</subject><subject>Data interpretation</subject><subject>Density</subject><subject>Development Economics</subject><subject>Digital Elevation Models</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Electrical resistivity</subject><subject>Foothills</subject><subject>Fractures</subject><subject>Geoelectricity</subject><subject>Geographic information systems</subject><subject>Geographical information systems</subject><subject>Geomorphology</subject><subject>Geophysical data</subject><subject>Geophysical methods</subject><subject>Groundwater</subject><subject>Groundwater data</subject><subject>Groundwater potential</subject><subject>Hydrogeology</subject><subject>Hydrology/Water Resources</subject><subject>Identification</subject><subject>Landforms</subject><subject>Landsat</subject><subject>Landsat satellites</subject><subject>Original Article</subject><subject>Remote sensing</subject><subject>Sounding</subject><subject>Sustainable Development</subject><subject>Thematic mapping</subject><subject>Thickness</subject><subject>Water Policy/Water Governance/Water Management</subject><subject>Yields</subject><issn>2363-5037</issn><issn>2363-5045</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kc9OGzEQxldVKxUBL9DTSL2yrf_t2j4iRCESKoe0Z8vxziZGG3uxHWieiZesQyq49eSx5vd9o5mvab5Q8o0SIr9nQZTWLWGkJUSovu0-NCeM97ztiOg-vtVcfm7Oc34ghNBO9Vrqk-blcp4n72zxMUAcIeE2FoSMIfuwvoCbxRJsGGCNcd7scyUnKOg2wT_uMMMYE6xT3IXh2RZMMFdxKL5CAz7hFOdt_YIPUDYILu1zsdPkA8LKZnztubidJ_xzmH0fhgjLUo0uYBl3ZfOMuZoG-OnXmLw9az6Ndsp4_u89bX7_uP51ddve3d8sri7vWsepLm3PuR45E4Qj5Sh7Klm3km5U1Lqx65VmUvCecWEVHwdLV4MSoko72zMtmeOnzdej75ziYctiHuIuhTrSMCGFVvXeqlLsSLkUc044mjn5rU17Q4k55GKOuZiai3nNxXRVxI-iXOFQt3q3_o_qL80Dk18</recordid><startdate>20210201</startdate><enddate>20210201</enddate><creator>Akinluyi, Francis O.</creator><creator>Olorunfemi, Martins O.</creator><creator>Bayowa, Oyelowo G.</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7UA</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>H97</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><orcidid>https://orcid.org/0000-0002-1390-1831</orcidid></search><sort><creationdate>20210201</creationdate><title>Application of remote sensing, GIS and geophysical techniques for groundwater potential development in the crystalline basement complex of Ondo State, Southwestern Nigeria</title><author>Akinluyi, Francis O. ; Olorunfemi, Martins O. ; Bayowa, Oyelowo G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-6339f32403e13e761725b7cf81acf568927436234a83fda1bd844c315a62972c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Alluvial deposits</topic><topic>Alluvium</topic><topic>Anisotropy</topic><topic>Aquifers</topic><topic>Confined aquifers</topic><topic>Data acquisition</topic><topic>Data interpretation</topic><topic>Density</topic><topic>Development Economics</topic><topic>Digital Elevation Models</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Electrical resistivity</topic><topic>Foothills</topic><topic>Fractures</topic><topic>Geoelectricity</topic><topic>Geographic information systems</topic><topic>Geographical information systems</topic><topic>Geomorphology</topic><topic>Geophysical data</topic><topic>Geophysical methods</topic><topic>Groundwater</topic><topic>Groundwater data</topic><topic>Groundwater potential</topic><topic>Hydrogeology</topic><topic>Hydrology/Water Resources</topic><topic>Identification</topic><topic>Landforms</topic><topic>Landsat</topic><topic>Landsat satellites</topic><topic>Original Article</topic><topic>Remote sensing</topic><topic>Sounding</topic><topic>Sustainable Development</topic><topic>Thematic mapping</topic><topic>Thickness</topic><topic>Water Policy/Water Governance/Water Management</topic><topic>Yields</topic><toplevel>online_resources</toplevel><creatorcontrib>Akinluyi, Francis O.</creatorcontrib><creatorcontrib>Olorunfemi, Martins O.</creatorcontrib><creatorcontrib>Bayowa, Oyelowo G.</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Water Resources Abstracts</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection (ProQuest)</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><jtitle>Sustainable water resources management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Akinluyi, Francis O.</au><au>Olorunfemi, Martins O.</au><au>Bayowa, Oyelowo G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Application of remote sensing, GIS and geophysical techniques for groundwater potential development in the crystalline basement complex of Ondo State, Southwestern Nigeria</atitle><jtitle>Sustainable water resources management</jtitle><stitle>Sustain. Water Resour. Manag</stitle><date>2021-02-01</date><risdate>2021</risdate><volume>7</volume><issue>1</issue><artnum>4</artnum><issn>2363-5037</issn><eissn>2363-5045</eissn><abstract>Remotely sensed and electrical resistivity data were employed to develop the groundwater potential of the hard-rock terrain of Ondo State, Southwestern Nigeria. Administrative map, Landsat ETM +, Aster DEM were acquired and processed to produce geomorphological map, lineament and lineament-intersection density maps. Electric sounding and groundwater yield data were also acquired. The electric sounding data were interpreted quantitatively. Aquifer thickness and coefficient of anisotropy were generated from geoelectric parameters (resistivities and thicknesses) deduced from the interpreted results of the electric sounding data. All these maps were reclassified into hydro-thematic maps and combined using weighted linear combination function in ArcGIS 10.5 software to develop a composite groundwater potential map. Groundwater yield data were used to establish the reliability of the groundwater potential map derived from the remotely sensed and geophysical data interpretation. Erosional and depositional landforms were identified in the area and these included: residual hill (677–980 m.a.s.l), pediment (452–677 m.a.s.l), pediplain (226–452 m.a.s.l) and pediplain with alluvium (74–226 m.a.s.l). The lineament density ranged from 0.00 to 69.48 km/km
2
. The lineament-intersection density ranged between 0.00 and 72.92 km/km
2
. The aquifer thicknesses varied from 0.2 to 79 m. The aquifer types identified from the study were the weathered layer (WL), weathered/fractured (unconfined) (W/F(u)), weathered/fractures (confined) (W/F(c)), weathered/fractured (unconfined)/fractured (confined) (W/F(u)/F(c)) and fractured confined aquifer (F(c)). The coefficient of anisotropy (coa) values ranged from 1.0 to 2.88 units. Four distinct groundwater potential zones: very low, low, moderate and high zones were identified. However, the study concluded that the groundwater potential rating of the study area was low to moderate.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s40899-020-00486-5</doi><orcidid>https://orcid.org/0000-0002-1390-1831</orcidid></addata></record> |
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subjects | Alluvial deposits Alluvium Anisotropy Aquifers Confined aquifers Data acquisition Data interpretation Density Development Economics Digital Elevation Models Earth and Environmental Science Earth Sciences Electrical resistivity Foothills Fractures Geoelectricity Geographic information systems Geographical information systems Geomorphology Geophysical data Geophysical methods Groundwater Groundwater data Groundwater potential Hydrogeology Hydrology/Water Resources Identification Landforms Landsat Landsat satellites Original Article Remote sensing Sounding Sustainable Development Thematic mapping Thickness Water Policy/Water Governance/Water Management Yields |
title | Application of remote sensing, GIS and geophysical techniques for groundwater potential development in the crystalline basement complex of Ondo State, Southwestern Nigeria |
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